| bestcub | Best-subset variable selection for CUB models via fast EM algorithm |
| BIC.fastCUB | S3 BIC method for class "fastCUB" |
| bitcsi | Shifted Binomial probabilities of ordinal responses |
| bitgama | Shifted Binomial distribution with covariates |
| coef.fastCUB | S3 Method: coef for class "fastCUB" |
| cormat | Correlation matrix for estimated model |
| dissim | Normalized dissimilarity measure |
| fastCUB | Main function for fast estimation CUB models |
| fastCUB_package | fastCUB package |
| fitted.fastCUB | S3 method "fitted" for class "fastCUB" |
| inibest | Preliminary estimators for CUB models without covariates |
| inibestgama | Preliminary parameter estimates of a CUB model with covariates for feeling |
| invmatgen | Recursive computation of the inverse of a matrix |
| logis | The logistic transform |
| logLik.fastCUB | logLik S3 Method for class "fastCUB" |
| makeplot | Plot facilities for fastCUB objects |
| print.fastCUB | S3 method: print for class "fastCUB" |
| probbit | Probability distribution of a shifted Binomial random variable |
| probcub00 | Probability distribution of a CUB model without covariates |
| probcub0q | Probability distribution of a CUB model with covariates for the feeling component |
| probcubp0 | Probability distribution of a CUB model with covariates for the uncertainty component |
| probcubpq | Probability distribution of a CUB model with covariates for both feeling and uncertainty |
| relgoods | Relational goods and Leisure time dataset |
| summary.fastCUB | S3 method: summary for class "fastCUB" |
| univer | Evaluation of the Orientation Services 2002 |
| vcov.fastCUB | S3 method vcov() for class "fastCUB" |